Job title: Data Engineer
Job type: Contract
Emp type: Full-time
Industry: Consultancy
Pay interval: Hourly
Pay rate: Negotiable
Job published: 14/04/2026
Job ID: 224041

Job Description

Senior / Lead Data Engineer – 12 Month Contract

Location: Lisbon (2 days per week onsite)

Contract: 12 Months

Start: ASAP

Rate: €Day rate dependent on experience

 

We’re looking for a Senior / Lead Data Engineer to join a growing data team delivering cloud-native data platforms within the Microsoft ecosystem. This role will play a key part in designing and building scalable data pipelines, enabling advanced analytics, and driving data-led decision making across the business.

 

You’ll work closely with data architects, analysts, and engineering teams to build high-performance data solutions using modern cloud technologies.

 

Responsibilities

  • Design and implement end-to-end data architectures, covering ingestion, transformation, modelling, storage, and orchestration.
  • Build and maintain scalable cloud-native data pipelines within Microsoft environments.
  • Develop data models and architectures that support enterprise analytics and reporting.
  • Implement data quality, validation, lineage, and monitoring frameworks.
  • Optimise pipelines and storage for performance, reliability, and cost efficiency.
  • Collaborate with engineering and analytics teams to deliver robust, production-grade data platforms.
  • Support and promote DevOps / DataOps best practices, including CI/CD for data workflows.

 

Required Experience

  • Strong experience designing and delivering end-to-end data platforms and architectures (including Medallion-style lakehouse architectures).
  • Hands-on experience with Microsoft data technologies, including:
  • Microsoft Fabric
  • Azure Data Factory
  • Azure Synapse Analytics
  • Experience working with cloud data warehouses and data lakes, such as:
  • BigQuery
  • Azure Data Lake
  • Delta Lake
  • Amazon Redshift
  • Strong programming skills with:
  • Python (Pandas, Boto3)
  • SQL
  • Apache Spark
  • Experience with relational and/or NoSQL databases such as:
  • Oracle Database
  • Microsoft SQL Server
  • MongoDB
  • Elasticsearch
  • Experience implementing CI/CD pipelines and DevOps/DataOps practices.
  • Proven ability to scale and optimise production data pipelines.

 

Nice to Have

  • Experience working across multiple cloud platforms (Azure, AWS, Google Cloud).
  • Exposure to lakehouse architectures and modern data platform design.
  • Experience mentoring engineers or leading technical delivery within data teams.